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生物医学信息学课程框架。

A framework for the biomedical informatics curriculum.

作者信息

Johnson Stephen B

机构信息

Department of Biomedical Informatics, Columbia University, New York, NY, USA.

出版信息

AMIA Annu Symp Proc. 2003;2003:331-5.

Abstract

The problem of developing a curriculum for biomedical informatics is highly dependent on how we choose to define and practice the field. Numerous authors have questioned how to position biomedical informatics along the continuum of formal, empirical and engineering disciplines. A concern with current educational programs in biomedical informatics is that students finish without a clear understanding of the relation between theory and practice, or worse, with the impression that the field does not possess any theoretical basis. In this paper, we propose that biomedical informatics curricula explicitly address skills and competencies at three levels: formal, empirical, and applied. We posit that that knowledge of formalization is necessary to build testable empirical models, and that model-driven approaches are necessary for deploying information systems that can be evaluated in a meaningful way. A curricular framework is proposed that identifies a set of methods, techniques and theories that have broad applicability within the domain of biomedicine, and which can span a wide range of application areas: bioinformatics, imaging informatics, clinical informatics and public health informatics. A stronger linkage between theory and practice will result in students who are empowered to create effective and lasting solutions to biomedical problems.

摘要

制定生物医学信息学课程的问题在很大程度上取决于我们如何选择定义和实践该领域。许多作者质疑如何在形式学科、实证学科和工程学科的连续统一体中定位生物医学信息学。当前生物医学信息学教育项目存在的一个问题是,学生毕业时对理论与实践之间的关系缺乏清晰的理解,或者更糟糕的是,他们认为该领域没有任何理论基础。在本文中,我们建议生物医学信息学课程应明确涉及三个层面的技能和能力:形式层面、实证层面和应用层面。我们认为,形式化知识对于构建可测试的实证模型是必要的,并且模型驱动方法对于部署能够以有意义的方式进行评估的信息系统是必要的。本文提出了一个课程框架,该框架确定了一组在生物医学领域具有广泛适用性的方法、技术和理论,并且可以涵盖广泛的应用领域:生物信息学、影像信息学、临床信息学和公共卫生信息学。理论与实践之间更强的联系将培养出有能力为生物医学问题创造有效且持久解决方案的学生。

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